python绘图设置标题,如何隐藏绘图yaxis标题（在Python中）？

Editing:

The following example from Plotly for reference:

import plotly.express as px

df = px.data.gapminder().query("continent == 'Europe' and year == 2007 and pop > 2.e6")

fig = px.bar(df, y='pop', x='country', text='pop')

fig.update_traces(texttemplate='%{text:.2s}', textposition='outside')

fig.update_layout(uniformtext_minsize=8, uniformtext_mode='hide')

fig.show()

How to remove the word 'pop'.

What I want to hide the y-axis title of'value'.

The following syntax doesn't work.

fig.update_yaxes(showticklabels=False)

Thanks.

解决方案

Solution

You need to use visible=False inside fig.update_yaxes() or fig.update_layout() as follows. For more details see the documentation for plotly.graph_objects.Figure.

# Option-1: using fig.update_yaxes()

fig.update_yaxes(visible=False, showticklabels=False)

# Option-2: using fig.update_layout()

fig.update_layout(yaxis={'visible': False, 'showticklabels': False})

# Option-3: using fig.update_layout() + dict-flattening shorthand

fig.update_layout(yaxis_visible=False, yaxis_showticklabels=False)

Try doing the following to test this:

# Set the visibility ON

fig.update_yaxes(title='y', visible=True, showticklabels=False)

# Set the visibility OFF

fig.update_yaxes(title='y', visible=False, showticklabels=False)

How to create the figure directly with hidden-yaxis label and tickmarks

You can do this directly by using the layout keyword and supplying a dict to go.Figure() constructor.

import plotly.graph_objects as go

fig = go.Figure(

data=[go.Bar(y=[2, 1, 3])],

layout_title_text="A Figure Displaying Itself",

layout = {'xaxis': {'title': 'x-label',

'visible': True,

'showticklabels': True},

'yaxis': {'title': 'y-label',

'visible': False,

'showticklabels': False}

}

)

fig

An Interesting Feature of Plotly: A hidden shorthand

It turns out that Plotly has a convenient shorthand notation allowing dict-flattening available for input arguments such as this:

## ALL THREE METHODS BELOW ARE EQUIVALENT

# No dict-flattening

# layout = dict with yaxis as key

layout = {'yaxis': {'title': 'y-label',

'visible': False,

'showticklabels': False}

}

# Partial dict-flattening

# layout_yaxis = dict with key-names

# title, visible, showticklabels

layout_yaxis = {'title': 'y-label',

'visible': False,

'showticklabels': False}

# Complete dict-flattening

# layout_yaxis_key-name for each of the key-names

layout_yaxis_title = 'y-label'

layout_yaxis_visible = False

layout_yaxis_showticklabels = False

Now try running all three of the following and compare the outputs.

import plotly.graph_objects as go

# Method-1: Shortest (less detailed)

fig = go.Figure(

data=[go.Bar(y=[2, 1, 3])],

layout_title_text="A Figure Displaying Itself",

layout_yaxis_visible = False,

layout_xaxis_title = 'x-label'

)

fig.show()

# Method-2: A hibrid of dicts and underscore-separated-syntax

fig = go.Figure(

data=[go.Bar(y=[2, 1, 3])],

layout_title_text="A Figure Displaying Itself",

layout_xaxis_title = 'x-label',

layout_yaxis = {'title': 'y-label',

'visible': False,

'showticklabels': False}

)

fig.show()

# Method-3: A complete dict syntax

fig = go.Figure(

data=[go.Bar(y=[2, 1, 3])],

layout_title_text="A Figure Displaying Itself",

layout = {'xaxis': {'title': 'x-label',

'visible': True,

'showticklabels': True},

'yaxis': {'title': 'y-label',

'visible': False,

'showticklabels': False}

}

)

fig.show()